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DTSTART:20171105T020000
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UID:calendar.318686.field_event_date.0@www.wright.edu
DTSTAMP:20260219T225740Z
CREATED:20180418T173939Z
DESCRIPTION:Ph.D. Committee:  Drs. Nikolaos Bourbakis\, Advisor\, Soon Chun
 g\, Yong Pei\, and Larry Lawhorne\, MD (Geriatrics)ABSTRACT:One of the cha
 llenges of our society is the existence of chronic-related conditions and 
 diseases among the elderly and people at risk. Apart from the welfare of p
 eople\, a significant impact of this phenomenon is the accumulation of hig
 h financial costs for both individuals and health care systems. In order t
 o address this issue and to reduce its effects\, many efforts have been ma
 de towards preventing\, identifying in early stages and\, generally\, mana
 ging chronic-related medical conditions and diseases. As a result\, there 
 has been a keen research and market interest in health monitoring devices 
 during the past few decades. Nevertheless\, despite the progress in the fi
 eld of health monitoring\, these devices are still unable to measure certa
 in symptoms with sensors.A feasible solution to the aforementioned problem
  comes from the area of human-machine interaction. However\, although huma
 n-machine interaction devices have advanced recently\, they are still far 
 from replacing the human from the interaction loop. Their major drawback i
 s that they cannot reliably and efficiently respond to human requests\, si
 nce they mainly behave as “answering machines”. Moreover\, the majority of
  these systems fail to take certain human factors\, such as one’s emotiona
 l condition\, into consideration.In response to this need\, we propose a V
 irtual Doctor system that is able to measure a patient’s pathological data
  and also competently extract their non-measurable symptoms by incorporati
 ng an intelligent human-computer dialogue system that is modeled with Stoc
 hastic Petri Nets. In addition to this\, the dialogue system will also be 
 able to take human communication factors\, such as the patient’s emotional
  condition\, as well as other resources\, such as their medical history\, 
 into account. Therefore\, the ultimate goal of the general system is healt
 h monitoring\, quick and reliable prognosis of a human’s health condition\
 , real-time response to critical situations and\, generally\, the life imp
 rovement for certain categories of people in need.Short bio:Stavros Mallio
 s received his Bachelor of Engineering from the Computer Engineering and I
 nformatics Department\, University of Patras\, Greece\, in 2010. He is cur
 rently working towards the Ph.D. degree in human-computer dialogue systems
  with the Department of Computer Science and Engineering\, Center of Assis
 tive Research Technologies (CART)\, ĚÇĐÄÔ­´´\, Dayton\, OH.
 His research interests include human-computer interaction\, natural langua
 ge understanding and artificial intelligence. As part of his dissertation\
 , he is the author or coauthor of published papers in human-computer dialo
 gue systems\, their modeling and their application in health monitoring\, 
 in notable conferences.
DTSTART;TZID=America/New_York:20180423T144500
DTEND;TZID=America/New_York:20180423T164500
LAST-MODIFIED:20180418T180629Z
LOCATION:499 Joshi
SUMMARY:Ph.D. Dissertation Defense “Virtual Doctor: An Intelligent Human-Co
 mputer Dialogue System for Quick Response to People in Need” By Stavros Ma
 llios
URL;TYPE=URI:/events/phd-dissertation-defense-%E2%80%
 9Cvirtual-doctor-intelligent-human-computer-dialogue-system-quick
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